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A guide to some of the most useful R Packages that we know about
List of deconvolution methods and resources.
Unbiased single-cell transcriptomic data cell type identification
😎 A curated list of software and resources for exploring and visualizing (browsing) expression data 😎
A 'ggplot2' extension that focusses on expanding the plotter's arsenal of guides, such as axes, legends and colour bars. It brings various improvements to existing guides by re-implementation, as w…
R package for analysing meaningful differences in the numbers of cell populations from single-cell phenotypic data
Papers with code for single cell related papers
Rapid builds of small Conda-based containers using micromamba.
A launch point for your nvim configuration for Python
Wrapper around ComplexHeatmap for SummarizedExperiment objects
A curated list of awesome Jupyter projects, libraries and resources
Various utility functions for Seurat single-cell analysis
BRAID is a department within Genentech dedicated to advancing biological and clinical sciences through artificial intelligence.
Finding surprising needles (=genes) in haystacks (=single cell transcriptome data).
🐍🐍🐍 A systematic approach to parse strings and automate the conversion to snake_case, UpperCamelCase or any other case.
Vitessce is a visual integration tool for exploration of spatial single-cell experiments.
R package with collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
https://www.sc-best-practices.org